Does an embedding change every time the same token appears?
The initial lookup vector is typically fixed for a given set of model weights. Contextual representations produced by later layers can differ between occurrences.
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More FAQs in What is the difference between a token ID and an embedding?
Yes. Separate vocabulary items may acquire related numerical representations during training, even when their integer IDs are far apart in the vocabulary table.
Not necessarily. An image encoder can produce vectors from pixels or patches without using text vocabulary IDs. The input representation depends on the architecture.
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